What is Sentiment Analysis?
Definition
Sentiment analysis is AI technology that detects emotions, attitudes, and opinions in spoken or written language. In meetings, it can identify whether participants are positive, negative, or neutral about topics being discussed.
How It Works
Sentiment analysis uses NLP models trained to classify text by emotional tone. The models analyze word choice, phrasing, and context to determine whether the expressed sentiment is positive, negative, or neutral.
In conversation intelligence, sentiment is tracked over time to identify shifts in customer attitude, objection moments, and positive engagement signals.
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Why It Matters
Sentiment analysis helps professionals understand the emotional dynamics of their conversations. Sales teams use it to identify deals at risk or positive buying signals.
For managers and coaches, sentiment trends across meetings reveal patterns in team morale and customer satisfaction.
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